A particular type of plastic soap bottle is designed to have a capacity of 15 ounces. There is variation in the bottle manufacturing process. Based on historical data, suppose the bottle capacity can be reasonably modeled by a normal distribution with a mean of 15 ounces and a standard deviation of 0.2 ounces. What proportion of these bottles will have a capacity between 14.7 and 15.1 ounces

62.73%

Step-by-step explanation:

The mean of the data is 15 and the standard deviation is 0.2. The range of data we want is 14.7 - 15.1. We need to change the range into mean +/- SD. The bottom range is 14.7, its lower than the mean(15) by 0.3, so it's mean - 1.5SD. The top limit is 15.1 which higher than 15 by 0.1, so it's mean + 0.5 SD.

The range of data we want is -1.5 SD to + 0.5 SD

The z-score for -1.5 is 0.06681 and the z-score for +0.5 SD is 0.69416. The proportion will be 0.69416-0.06681 =0.62735= 62.73%

0.02

step-by-step explanation:

time of 9 192 631 770 periods of the radiation corresponding to the transition between the 2 hyperfine levels of the ground state of the caesium 133 atom at 0 k (but other seconds are sometimes used in astronomy)